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. 2013 Nov 29;4:900. doi: 10.3389/fpsyg.2013.00900

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Copyright © 2013 Andrews-Hanna, Kaiser, Turner, Reineberg, Godinez, Dimidjian and Banich.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Hierarchical clustering reveals major dimensions of thought content. Higher scores for the Level of Construal cluster correspond to thoughts that are more temporally and perceptually specific, as well as more socially oriented. Higher scores for the Personal Significance cluster correspond to thoughts rated as more personally significant. Higher scores for the Outlook cluster correspond to thoughts rated as more positive and future-oriented. On the y-axis, height is a measure of similarity or distance between content variables such that two variables forming a single cluster at a small height are more similar than two variables linked at a greater height.